Statistics Module 3+4: GLMM and Own Data Workshop
- Start: Nov 21, 2022
- End: Nov 25, 2022
- Speaker: Dr. Fränzi Korner-Nievergelt
- Oikostat
- Location: MPIO Seewiesen
- Room: seminar room, house 4
- Host: IMPRS for Organismal Biology
- Contact: imprs.seewiesen@bi.mpg.de
Theoretical introduction into GLMM. Guided work on own data.
Notice: This course is planned to take place in-person. Short-term changes may be possible according to pandemic situation.
Day 1: Binomial model (refreshing LM and LMM; introduction Bayesian data analysis; logistic regression, binomial model)
Day 2: Poisson model and negative binomial model
Day 3 : GLMM (including random effencts; work on own data)
Day 4+5: work on own data and presentations.
Prerequisite for participation
- basic knowledge in statistics, people who have attended Modules 1 and/ or 2 will profit more from the workshop.
- Participants bring their own data. They are requested to send a short description of their projects to the teachers at least one week before the start of the workshop.
- Participants are asked to bring the material of the course modules 2 and 3, particularly the following book: Korner-Nievergelt, F., T. Roth, S. Von Felten, J. Guélat, B. Almasi, and P. Korner-Nievergelt. 2015. Bayesian Data Analysis in Ecolog Using Linear Models with R, BUGS, and Stan. Elsevier, New York. oikostat GmbH, plus additional online material.